September 10, 2022 (Saturday)

2:00 PM - 6:00 PM | Zoom Meetings

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Program Description

In this age of Bigdata availability within our organizations, a structured approach into data-driven decision making and problem-solving are factors that leads to business success. Having a core understanding of working with data in terms of identification, collection and analysis is vital in every initiative, project, and endeavor. This course presents a gentle introduction to the concept of data analysis, and basic tools and techniques to enable the learner to perform preliminary data analysis. 


OBJECTIVES

  1. Understand fundamental concepts of analysis and evolution throughout history
  2. Understand and Apply Framework to data analysis
  3. Perform Data Cleansing and Sanitation
  4. Apply Fundamental Data Analysis Theories
  5. Extract effective insights from Processed Data

Target Audience

  • Learners are expected to apply basic computer skills, and basic competency in productivity software such as Microsoft Office including but not limited to Word, Excel & PowerPoint.

  • the subject does not require the learners to have previous experience in Data Analytics or any Analytics discipline.

  • This course requires the learners to have the passion to persevere and the commitment to deliver the program requirements.

Course curriculum

    1. Course Objectives

    2. Why Data Analytics?

    1. What is Data Analytics?

    2. Evolution of Data Analytics

    3. Data Analytics in Business (Business Analytics)

    4. Role of Data Analytics in Lean Six Sigma

    5. Careers in Data Analytics

    6. Data Analytics Roadmap

    1. Data Preparation - CUIKA (COPC Framework)

    2. Statistics Overview

    3. Data Analytics Framework

    1. Descriptive Analytics

    2. Different Tools in Descriptive Analytics

    1. Data Storytelling

    2. Project Storyboard Deck

    3. Continued Learning

    1. Survey

    2. Examination

About this course

  • 18 lessons
  • 4 hours training

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